iShares S&P Small-Cap 600 Growth ETF (IJT) Probability Analysis

Probability analysis extracts the risk-neutral probability distribution implied by option prices. It shows the market-implied likelihood of the underlying reaching various price levels by expiration.

iShares S&P Small-Cap 600 Growth ETF (IJT) operates in the Financial Services sector, specifically the Asset Management industry, with a market capitalization near $8.11B, listed on NASDAQ, carrying a beta of 1.05 to the broader market. This ETF aims to replicate the investment outcomes of a chosen index by concentrating its holdings in U. public since 2000-07-28.

Snapshot as of Aug 28, 2026.

Spot Price
$171.06
ATM IV
15.9%
IV Rank
1.0%
IV Percentile
1.2%
HV 20-Day
14.9%
IV Skew 25Δ
0.053

As of Aug 28, 2026, iShares S&P Small-Cap 600 Growth ETF (IJT) at $171.06 has an ATM IV of 15.9%, implying a 30-day one-standard-deviation range of approximately ±$7.80. IV rank is 1.0% (subdued, distribution priced tighter than usual). IV percentile is 1.2%. The 25-delta skew is +0.053: upside tail priced richer than downside, biasing probability mass above spot. Under lognormal assumptions roughly 68% of outcomes fall within ±1σ and 95% within ±2σ; risk-neutral probability analysis refines this by extracting the market-implied distribution directly from options prices, capturing the fat tails that real markets exhibit.

How IJT probability analysis Data Feeds Strategy Selection

Strategy selection on iShares S&P Small-Cap 600 Growth ETF options does not derive from any single metric in isolation. The probability analysis view above sits inside a broader read: ATM IV currently sits at 15.9% and dealer gamma exposure is positive, so dealer hedging is mechanically mean-reverting. Combine the probability analysis data here with the volatility-skew surface, dealer-gamma exposure, max-pain level, and upcoming-events calendar to build a positioning thesis. Risk-defined structures (credit spreads, debit spreads, iron condors) are usually safer than naked positions while the regime is uncertain; the data on this page anchors the inputs but does not by itself constitute a trade thesis.

How to read the IJT probability distribution

The probability cone above is the option-market-implied distribution of where iShares S&P Small-Cap 600 Growth ETF spot could end up at expiration. It's derived from the implied-volatility surface via a risk-neutral pricing transformation, not from historical realized returns. With ATM IV at 15.9% and spot at $171.06, the 1σ band is approximately ±5.5% over a 30-day horizon. Recent realized HV-20 of 14.9% runs 1.0 vol points below the current implied, suggesting the chain is pricing more dispersion than the underlying has been delivering.

IJT risk-neutral vs real-world probabilities

The probabilities derived from option prices reflect the market's risk-adjusted view, not the realized statistical distribution. Risk-neutral probabilities include the equity risk premium and skew preferences priced into options, so they tend to overstate tail probability and understate upside drift relative to actually-realized outcomes. For probability-of-touch calculations and assignment-risk modeling, risk-neutral is the right benchmark. For position-sizing your own conviction, blend with realized-volatility-based statistics from the HV columns.

Trading the IJT distribution

Probability-driven strategies aim to capture mispricings between the implied distribution and your own probability assessment. Premium-selling structures (credit spreads, iron condors, cash-secured puts) profit when the implied distribution overprices tail probability relative to realized; premium-buying (debit spreads, long calls/puts, long straddles) profits in the reverse. With IJT IV rank at 1.0%, the chain is pricing tighter tails than recent realized history; buyers get cheaper optionality but need a real catalyst to monetize. Always pair probability-driven strategy selection with a stop loss or wing-defined risk - the implied distribution is a snapshot, and regime shifts can invalidate it intraday.

Learn how risk-neutral density is reported and how to read the data →

Frequently asked IJT probability analysis questions

What is the IJT 30-day expected price range?
As of Aug 28, 2026, with IJT at $171.06 and ATM IV at 15.9%, the implied 30-day one-standard-deviation range is approximately ±$7.80, or about $163.26 to $178.86. IV rank is subdued, so the priced distribution is tighter than the 1-year typical width.
What does IJT risk-neutral density tell us?
Risk-neutral density is the probability distribution of future IJT price implied by listed option prices. Extracted via Breeden-Litzenberger (twice-differentiating the call price function with respect to strike), it represents the pricing kernel rather than the real-world probability of outcomes. Persistent skew or fat-tail features in the density reflect how the market is pricing tail risk.
How does IJT ATM IV translate to a probability range?
ATM IV is annualized; multiplying by sqrt(t/365) scales it to the chosen tenor. Under lognormal assumptions, the resulting standard deviation defines the ±1σ band that contains roughly 68% of outcomes, ±2σ for 95%. Empirical equity returns have fatter tails than log-normal, so the implied tail probabilities under-state realized tail frequency in stressed regimes.